How to Use the NOAA Marine — Tides, Currents & Coastal Data MCP in Mastra AI

Q: How does the NOAA Marine — Tides, Currents & Coastal Data server integrate with a Mastra AI workflow?

It's straightforward. You instantiate the MCPClient in your Mastra AI agent's code with your Vinkius URL. The agent can then see and call all six NOAA tools, like getwaterlevels, as steps in your workflow.

Q: Can I add a human approval step to my Mastra AI workflow using the NOAA Marine — Tides, Currents & Coastal Data server?

Yes. You can configure your agent to call getsealeveltrends, generate a risk assessment, and then use Mastra's requireToolApproval to wait for a human to sign off before taking further action.

Build resilient coastal monitoring workflows with Mastra AI. Automate checks on tides, currents, and sea-level trends.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect NOAA Marine — Tides, Currents & Coastal Data MCP to Mastra AI

Create your Vinkius account to connect NOAA Marine — Tides, Currents & Coastal Data to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup NOAA Marine — Tides, Currents & Coastal Data with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Create Failsafe Marine Alerts

This server's tools let your Mastra AI agent monitor critical coastal conditions. Use `get_water_levels` to check for abnormal tides or storm surges. If the API call fails, Mastra's built-in retry logic will handle it automatically. You can build a workflow that checks `get_water_levels` and if it exceeds a threshold, it then calls `get_meteorological` to check wind speeds before sending an alert. This creates a much more reliable and context-aware warning system.

Chain Oceanographic Data Points

The `get_currents` tool tells you the speed and direction of water flow at a specific station. Your agent can use this data as an input for the next step in a workflow, like deciding whether it's safe to dispatch a vessel. Mastra AI makes it easy to build conditional logic. For example: IF `get_water_temperature` is below a certain point AND `get_currents` are above a certain speed, THEN trigger a specific safety protocol. This MCP server provides the raw data to build these rules.

Automate Long-Term Site Analysis

The `get_sea_level_trends` tool provides the long-term data needed for infrastructure planning. Your Mastra AI agent can be configured to run a monthly job that pulls this data for a dozen sites and compiles a report. Because Mastra workflows are deployable with a single command, you can set up these monitoring jobs in minutes. This isn't a one-off script; it's a durable, automated process for tracking climate risks.

Setup guide

Set up NOAA Marine — Tides, Currents & Coastal Data MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All NOAA Marine — Tides, Currents & Coastal Data tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "noaa-marine-tides-currents-coastal-data-mcp-client",
  servers: {
    "noaa-marine-tides-currents-coastal-data-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "NOAA Marine — Tides, Currents & Coastal Data Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to NOAA Marine — Tides, Currents & Coastal Data tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent NOAA Marine — Tides, Currents & Coastal Data transactions"
);
console.log(result.text);

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by NOAA. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect NOAA Marine — Tides, Currents & Coastal Data now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about NOAA Marine — Tides, Currents & Coastal Data MCP in Mastra AI

It's straightforward. You instantiate the `MCPClient` in your Mastra AI agent's code with your Vinkius URL. The agent can then see and call all six NOAA tools, like `get_water_levels`, as steps in your workflow.

Yes, that's what Mastra AI is built for. For example, your agent can `get_tide_predictions`, and if a high tide coincides with a storm warning from another source, it can then trigger a series of automated alerts.

Definitely. An agent can monitor channel conditions by calling `get_currents` and `get_water_levels`. If conditions become unsafe, the workflow can automatically notify dispatch and reschedule port entry times.

Yes. You can configure your agent to call `get_sea_level_trends`, generate a risk assessment, and then use Mastra's `requireToolApproval` to wait for a human to sign off before taking further action.

All tool calls, including the NOAA station IDs you send, are executed within a zero-trust Vinkius sandbox. Each request is handled in an isolated V8 Isolate that is destroyed immediately after, ensuring none of your query data persists.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript